Generalist – Labeling

1. Role Overview

Mercor is collaborating with a leading AI lab on a short-term project focused on improving preference ranking models for conversational AI systems. We’re seeking detail-oriented generalists—ideally with prior experience in data labeling or content evaluation—to assess and rank model outputs across a variety of domains. This opportunity is well-suited for professionals comfortable with nuanced judgment tasks and working independently in a remote setup.

2. Key Responsibilities
• Evaluate and compare AI-generated responses based on quality, coherence, and helpfulness
• Assign preference rankings to pairs or sets of model outputs
• Follow detailed labeling guidelines and adjust based on evolving criteria
• Provide brief written explanations for ranking decisions when required
• Flag edge cases or inconsistencies in task design or model output

3. Ideal Qualifications
• Prior experience in data labeling, content moderation, or preference ranking tasks
• Excellent critical thinking and reading comprehension skills
• Comfort working with evolving guidelines and ambiguity
• Strong attention to detail and consistency across repetitive tasks
• Availability for regular part-time work on a weekly basis

4. More About the Opportunity
• Remote and asynchronous — set your own hours
• Expected commitment: 10–20 hours/week
• Flexible workload depending on your availability and performance

5. Compensation & Contract Terms
• $25–35/hour depending on experience and location
• Payments issued weekly via Stripe Connect
• This is a freelance engagement; you’ll be classified as an independent contractor

6. Application Process
• Submit your resume to get started
• Complete a short form to highlight your relevant experience
• You may be asked to complete a brief assessment to evaluate task fit
• Expect a response within 3–5 business days

7. About Mercor
• Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations
• Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey
• Thousands of professionals across law, engineering, research, and creative fields collaborate on contract-based projects shaping the future of AI